PDF malware analysis — malicious · 1bc9c669f0bc0a50

MALICIOUS

PDF

42.0 KB Created: 2020-08-31 07:08:40 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 010a72eeb74f753e69d921be5f40aacc SHA-1: 1b83e76827b02290a57aa9dd298340384280d2de SHA-256: 1bc9c669f0bc0a506510d6e0fc89e5a426957c1e42ecd6b142a6afa31786c413

150 Risk Score

Malware Insights

MITRE ATT&CK

T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF file contains a large number of embedded links, many of which point to a link farm designed to obscure the ultimate destination. One critical heuristic firing indicates a direct link to a known malicious redirector infrastructure at 'ttraff.ru'. The document body, though heavily obfuscated, contains the URL 'https://ttraff.ru/wix?keyword=how+tall+is+geralt', suggesting a social engineering lure. The presence of numerous PDF links and the ML classifier's high confidence score further support a malicious intent, likely for phishing or malware distribution.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM

Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
Embedded URL info EMBEDDED_URL

One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
URL https://ttraff.ru/wix?keyword=how+tall+is+geralt
- https://static.usrfiles.com/ugd/3b7182_c8e21161800d4f6382d63445f7f9e64b.pdf
- https://static.usrfiles.com/ugd/f967ac_d058b59f218a4a3aa84ff077c30fc968.pdf
- https://static.usrfiles.com/ugd/5a1791_10921735129a45e0a92fafd807568d4e.pdf
- https://static.usrfiles.com/ugd/b8c837_e022dddd4185465698943bf8c13a8487.pdf
- https://static.usrfiles.com/ugd/162fe6_020f074c74fe4202947872cefa5b707c.pdf
- https://static.usrfiles.com/ugd/b8c837_a70d14e4017c4f3e9b472845f8e7e8a8.pdf
- https://static.usrfiles.com/ugd/b8c837_1398ee65aaa34f92b29ee2abb46b524d.pdf
- https://cdn.shopify.com/s/files/1/0430/3853/9927/files/mudepig.pdf
- https://cdn.shopify.com/s/files/1/0436/3298/4222/files/torukuki.pdf
- https://cdn.shopify.com/s/files/1/0431/5175/3380/files/67539336382.pdf
- https://cdn.shopify.com/s/files/1/0434/2205/6600/files/classification_of_antiviral_drugs_with_examples.pdf
- https://cdn.shopify.com/s/files/1/0432/5857/7046/files/21208423690.pdf
- https://cdn.shopify.com/s/files/1/0462/1887/0938/files/electric_bicycle_project_report_ppt.pdf
- https://cdn.shopify.com/s/files/1/0431/2930/7293/files/mukazotomoda.pdf
- https://cdn.shopify.com/s/files/1/0429/8535/7463/files/pelolofunezomumuxuju.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off0000662c.bin` `c4e3facc812f0dca48f79a3fd6f1c237ad8c00678eea1eeda6aa59f6a8b70973`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x662C	4908 bytes
`font_01_sfnt_off000076fc.bin` `c559b29f5477f275db9c329b6b75092415af1807216ef9e2947c025b4546f24b`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x76FC	10672 bytes

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